We build a GTM engine that scans the market, finds companies that look like your best customers, spots buying signals, and launches outbound. So you reach them while they’re deciding — not after they’ve chosen.
A bought list goes stale the day you get it — it’s a snapshot of a category, frozen. We build you a system that watches the market live and reaches companies the moment they’re in the same situation your best deals were.
What made your best deals close.
Turn those moments into signals to watch for.
Find the companies in that moment right now.
Reach out on the trigger, then feed every result back.
One system in two parts. The first learns who really buys; the second turns that into pipeline. The output of one is the input of the other.
We pull together your CRM and marketing data — not for volume, but to find the pattern behind every deal you’ve won. The output isn’t “SaaS, 50 people.” It’s the situation that turns a company into a buyer — your real ICP.
We take that situation, build a system of signals around it, and watch the market live. The moment a company hits the same conditions, we reach out — while the reason is still fresh.
Yours to keep, even if you never become a customer.
Two weeks · read-only access to HubSpot · revoke anytime
| Lampara | Typical agency | In-house hire | |
|---|---|---|---|
| How your ICP is built | From your closed-won deals | Industry + size filters | Defined by the hire |
| What it runs on | Our own code at the core | Off-the-shelf tools | Chosen by the hire |
| How the outreach starts | A reason we noticed you now | Often opens with an offer | Up to the hire |
| Who runs it | An analyst + a GTM engineer | Assigned account team | One person, in-house |
| When something breaks | Monitored and backed up | Depends on the stack | On the hire to fix |
| What you commit to | $2,500/mo 3-month minimum · no setup fee | $4,500–8,500/mo often 6-month minimum · setup fee common | ~$170K/yr + benefits* |
* Illustrative 2026 figures from public GTM-engineer listings and agency pricing; actual costs vary by scope and market. Reflects common agency approaches, not any specific provider.
Notes on signal-based GTM, real ICPs, and what actually moves pipeline.
Revenue analysis shows where deals stall, but rarely why. In B2B SaaS the real leak is timing — reaching good-fit accounts at the wrong moment. Here's the fix.
An ideal customer profile framework for B2B SaaS that reverses customer journey analysis — start from Closed Won deals, derive your ICP from real revenue, then connect HubSpot and GA4 backward to find the patterns that produce revenue.
Connecting Claude to HubSpot and GA4 takes ten minutes. Getting accurate revenue answers takes context engineering, the layer that tells the agent what your data actually means.
The moment that used to be luck, made repeatable — from your own data.